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Prompts & LLMs48k · #3306

idea-autopsy

Teaches your AI agent to test code and catch bugs before users do and write better prompts and use LLMs.

What it does

This tool acts like a detective for business ideas. It looks for reasons why an idea might not work before you spend time and money building it.

When to use it

  • ✓When you have a new business or product idea.
  • ✓When you ask 'should I build this?'
  • ✓Before you start researching or planning a new venture.

Example of what to ask your AI

“Analyze my business idea: I want to create an app that teaches vegan cooking.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/idea-autopsy/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/idea-autopsy/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool checks your idea against a list of common reasons why ideas fail, like lack of real demand or if it's too easy to copy. It also suggests simple tests to see if the idea can work in the real world.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill idea-autopsy

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/idea-autopsy/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Idea Autopsy

Overview

Turns the agent into a ruthless business-idea pathologist: instead of encouraging the user, it hunts for the one sentence that kills an idea — before any money or weeks are spent building it. Built from a real founder kill-list of 42 dead ideas (including a 9/10-scored idea and one that turned out to be federally illegal to charge for). Every autopsy ends in a hard verdict: DEAD with a named kill-pattern, or SURVIVED with the one cheapest test that could still kill it.

When to Use This Skill

  • Use when the user proposes a new business, product, or side-project idea
  • Use when the user asks "should I build X?" or "validate this idea"
  • Use when the user says "autopsy my idea"
  • Use before any market-research or build-planning task for a new venture

How It Works

Step 1: Kill-list check

If the project contains a REJECTION.md (the user's personal kill-list), read it first. A NICHE match (same niche as a killed row) = verdict DEAD, cite the row, stop. A KILL-PATTERN match alone (new niche, previously-seen pattern) is a strong prior, NOT a verdict: name the matching pattern, then run the specific check for that pattern (the relevant filter or test below) to confirm it actually applies before declaring death. If no kill-list exists, ask the user for permission to create one with exactly this schema — this autopsy writes its first row:

# REJECTION.md — my kill-list

## Killed ideas

| # | Idea/Niche | Killed (date) | Hard reason (one line) | Pattern |
|---|-----------|---------------|------------------------|---------|

## Survivors under test

| Idea | Passed filters (date) | Pending test | Deadline |
|------|----------------------|--------------|----------|

Step 2: The five filters

Demand evidence, not optimism. One hard NO = dead.

  1. Real pain? 2am-problem, or a nice-to-have "vitamin"?
  2. Buyer has money? Right now — not after the product helps them.
  3. Proven demand? Can the user name a single live competitor ad?
  4. Legal to charge for? Regulated, licensed, or illegal in the target market? Name the law if suspicion exists.
  5. A moat? What stops the 50th copycat next month?

Step 3: The free-AI test

Try to produce the idea's core deliverable with one prompt to a frontier model. If one prompt produces the whole deliverable free, the verdict is DEAD with kill-pattern free-AI: the user doesn't have a product, they have a prompt.

Step 4: Live-market verification (own eyes)

Desk research lies. Walk the user through the Meta Ad Library (or equivalent) with an explicit checklist: number of ACTIVE advertisers, age of the oldest running ad (90+ days = someone is paying because it works), and the three traps — zero ads (wrong-channel), a few giants (incumbent-owned), or hundreds of ads (crowded commodity knife-fight: demand ≠ room for you).

Step 5: Verdict

VERDICT: DEAD | SURVIVED
KILL-PATTERN: <name>            (if dead)
THE ONE SENTENCE: <the single finding that decided it>
EVIDENCE: <2-4 hard facts with sources/numbers>
NEXT: <if survived: the ONE cheapest test that could still kill it>

Then record the result — gated on consent: if REJECTION.md exists, or the user approved creating it in Step 1, append a one-line row (dead) or note the survivor with the date and pending test. If the user declined the kill-list, do NOT create or write the file — print the proposed row as text so they can save it wherever they prefer. The kill-list is the compounding asset — every autopsy makes the next one faster, but only with the user's consent.

Examples

Example 1: Idea that dies on the free-AI test

User: Should I build a chargeback-response kit for Shopify sellers? Ready-to-send
      evidence packets, $29 one-time.
Agent: Running the autopsy... Step 3 kills it: one prompt to a frontier model
      produces a complete, usable evidence packet for free.
      VERDICT: DEAD. KILL-PATTERN: free-AI.
      THE ONE SENTENCE: If AI ships your whole deliverable in one prompt, you
      don't have a product — you have a prompt.

Example 2: Proven demand that still dies

User: An app that identifies plants from a photo — there are over a thousand
      active ads for these, demand is proven!
Agent: Step 4 confirms ~1,100 active advertisers — and that's the trap. The AI is
      free, the datasets are public, everyone could build it, so everyone did.
      VERDICT: DEAD. KILL-PATTERN: no-moat.

…
FAQ

What is a 'kill-list'?

It's a personal list you create of past business ideas that didn't work out, so the tool can learn from them and avoid similar mistakes.

What happens if my idea passes all the tests?

The tool will say the idea 'Survived' and suggest the next cheapest, simplest test to see if it might fail.

Will the tool tell me not to pursue my idea?

Yes, if it finds a good reason to. The goal is to save you time and money by identifying problems early.

Details

Original description by the author

Autopsy a business idea before you build it: kill-list check, five hard filters, a free-AI one-prompt test, live ad-market verification, and a verdict with a named kill-pattern.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3306
License
MIT
Updated
10/15/2026

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